Lubomir Bic

155 total papers · 1.4k total citations
101 papers, 878 citations indexed

About

Lubomir Bic is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Lubomir Bic has authored 101 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Networks and Communications, 35 papers in Hardware and Architecture and 24 papers in Artificial Intelligence. Recurrent topics in Lubomir Bic's work include Parallel Computing and Optimization Techniques (33 papers), Distributed and Parallel Computing Systems (33 papers) and Distributed systems and fault tolerance (20 papers). Lubomir Bic is often cited by papers focused on Parallel Computing and Optimization Techniques (33 papers), Distributed and Parallel Computing Systems (33 papers) and Distributed systems and fault tolerance (20 papers). Lubomir Bic collaborates with scholars based in United States, Saudi Arabia and Japan. Lubomir Bic's co-authors include Michael B. Dillencourt, Jean‐Luc Gaudiot, Elke A. Rundensteiner, Munehiro Fukuda, Katherine L. Morse, Alan Shaw, Lisa J. Yost, Rosalind A. Schoof, Dianne Meacher and Daniel B. Menzel and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Computer.

In The Last Decade

Lubomir Bic

93 papers receiving 797 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lubomir Bic	589	261	168	112	95	101	878
Ashish Gupta	500 0.8×	115 0.4×	287 1.7×	147 1.3×	97 1.0×	61	873
Sungwon Kang	236 0.4×	40 0.2×	298 1.8×	387 3.5×	34 0.4×	110	825
Ming Chen	540 0.9×	21 0.1×	126 0.8×	84 0.8×	46 0.5×	127	893
Shahram Babaie	478 0.8×	19 0.1×	236 1.4×	57 0.5×	143 1.5×	36	712
Marie-Odile Cordier	221 0.4×	24 0.1×	326 1.9×	141 1.3×	51 0.5×	61	994
Jason O. Hallstrom	293 0.5×	47 0.2×	159 0.9×	192 1.7×	26 0.3×	106	748
Lakshmish Ramaswamy	485 0.8×	11 0.0×	212 1.3×	259 2.3×	102 1.1×	93	874
Juan Wang	412 0.7×	25 0.1×	185 1.1×	153 1.4×	74 0.8×	79	728
Saeed Parsa	486 0.8×	134 0.5×	222 1.3×	548 4.9×	163 1.7×	121	1.0k
Dawei Li	470 0.8×	95 0.4×	82 0.5×	284 2.5×	16 0.2×	59	757

Countries citing papers authored by Lubomir Bic

Since Specialization

Citations

This map shows the geographic impact of Lubomir Bic's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lubomir Bic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lubomir Bic more than expected).

Fields of papers citing papers by Lubomir Bic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lubomir Bic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lubomir Bic. The network helps show where Lubomir Bic may publish in the future.

Co-authorship network of co-authors of Lubomir Bic

This figure shows the co-authorship network connecting the top 25 collaborators of Lubomir Bic. A scholar is included among the top collaborators of Lubomir Bic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lubomir Bic. Lubomir Bic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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